Machine-Learning-in-Python

代码说明：

  《Python机器学习及实践：从零开始通往Kaggle竞赛之路》源码，提供了一些流行的机器学习框架与程序库的应用实例，包括tensorflow框架，注重实战。(Python machine learning and practice: zero to the road leading to the Kaggle contest source code, provides some popular machine learning framework and application examples, including the tensorflow framework, focusing on actual combat.)

文件列表：

Machine Learning in Python (Scikit-learn)-(No.1
...............................................\Chapter_1
...............................................\.........\Chapter_1.1.ipynb,5143,2016-10-20
...............................................\.........\Chapter_1.4.ipynb,14584,2016-10-20
...............................................\Chapter_2
...............................................\.........\Chapter_2.1.1.1.ipynb,6991,2016-10-20
...............................................\.........\Chapter_2.1.1.2.ipynb,5112,2016-10-20
...............................................\.........\Chapter_2.1.1.3.ipynb,6330,2016-10-20
...............................................\.........\Chapter_2.1.1.4.ipynb,7548,2016-10-20
...............................................\.........\Chapter_2.1.1.5.ipynb,12570,2016-10-20
...............................................\.........\Chapter_2.1.1.6.ipynb,6926,2016-10-20
...............................................\.........\Chapter_2.1.2.ipynb,24088,2016-10-20
...............................................\.........\Chapter_2.2.1.1.ipynb,5983,2016-10-20
...............................................\.........\Chapter_2.2.2.1.ipynb,7205,2016-10-20
...............................................\Chapter_3
...............................................\.........\.DS_Store,6148,2016-10-20
...............................................\.........\Chapter_3.1.1.1.ipynb,15390,2016-10-20
...............................................\.........\Chapter_3.1.1.2.ipynb,6510,2016-10-20
...............................................\.........\Chapter_3.1.2.ipynb,12553,2016-10-20
...............................................\.........\Chapter_3.1.4.1.ipynb,9246,2016-10-20
...............................................\.........\Chapter_3.1.4.2.ipynb,3266,2016-10-20
...............................................\.........\Chapter_3.2.1.ipynb,4613,2016-10-20
...............................................\.........\Chapter_3.2.2.ipynb,6079,2016-10-20
...............................................\.........\Chapter_3.2.3.ipynb,5040,2016-10-20
...............................................\.........\Chapter_3.2.4.ipynb,10632,2016-10-20
...............................................\.........\MLLab_install.sh,781,2016-10-20
...............................................\Chapter_4
...............................................\.........\Chapter_4.2.ipynb,14078,2016-10-20
...............................................\.........\Chapter_4.3.ipynb,21533,2016-10-20
...............................................\.........\Chapter_4.4.ipynb,8239,2016-10-20
...............................................\Datasets
...............................................\........\Breast-Cancer
...............................................\........\.............\breast-cancer-test.csv,1958,2016-10-20
...............................................\........\.............\breast-cancer-train.csv,5812,2016-10-20
...............................................\........\IMDB
...............................................\........\....\300features_20minwords_10context,48528725,2016-10-20
...............................................\........\....\labeledTrainData.tsv,33556378,2016-10-20
...............................................\........\....\submission_count.csv,232792,2016-10-20
...............................................\........\....\submission_tfidf.csv,232792,2016-10-20
...............................................\........\....\submission_w2v.csv,232792,2016-10-20
...............................................\........\....\testData.tsv,32724746,2016-10-20
...............................................\........\....\unlabeledTrainData.tsv,67281491,2016-10-20
...............................................\........\MNIST
...............................................\........\.....\conv_submission.csv,212908,2016-10-20
...............................................\........\.....\dnn_submission.csv,212908,2016-10-20
...............................................\........\.....\linear_submission.csv,212908,2016-10-20
...............................................\........\.....\test.csv,51118296,2016-10-20
...............................................\........\.....\train.csv,76775041,2016-10-20
...............................................\........\Titanic
...............................................\........\.......\rfc_submission.csv,2839,2016-10-20
...............................................\........\.......\test.csv,28629,2016-10-20
...............................................\........\.......\train.csv,61194,2016-10-20
...............................................\........\.......\xgbc_best_submission.csv,2839,2016-10-20
...............................................\........\.......\xgbc_submission.csv,2839,2016-10-20